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Alif Jakir

Omnidisciplinary inventor

philosopher–scientist–futurist

Hi, I’m Alif—welcome to my site. My work sits at the intersection of artificial and organic intelligence: how minds arise in neural and machine substrates, and how we can design systems that amplify critical thinking and partnership with humans rather than substituting for them. The full layout, contact links, and research sections load with the interactive site.

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Tutorial: chapter spine + OCW

How I would restart the IAP-style reading—make something run after every chapter

This is the practical scaffold we used informally in IAP 2023: keep the book chapters in order, but pause each meeting to run code or a proof sketch so abstractions stay moored to systems.

  1. Ground rules. OCW lists linear algebra maturity (18.06) and MATLAB familiarity. If you live in Python, still skim MATLAB for D4M idioms first, then port once the algebra is automatic.
  2. Session 0 — Install and sanity-check. Download D4M from d4m.mit.edu, clone a demo such as the baseball walkthrough, and read the ICASSP 2012 D4M paper once for vocabulary.
  3. Weekly rhythm. For each book chapter: (a) read the chapter; (b) watch the matching arc from RES.LL-005 (Fall 2012 video plus IAP 2020 supplements); (c) implement at least one example or exercise; (d) write a short note translating the idea into a system you care about—warehouse, stream, graph, simulation mesh.
  4. Bridge to modern graphs. After Part II (rigorous associative-array definitions), read the GraphBLAS community materials and one GraphChallenge champion write-up. The goal is to recognize the same multiplication pattern on different substrates.
  5. Capstone. Pick one tractable GraphChallenge task or sparse benchmark and build a toy implementation. Aim for performance literacy, not leaderboard placement.

OCW's lecture notes page bundles IAP 2020 PDF supplements on AI/ML and cyber data architecture—good bridge readings when the textbook feels pure-math heavy.

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